Table of Contents
Remote Sens., Volume 8, Issue 1 (January 2016)
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Cover Story (view full-size image) We used a very low-cost unmanned aerial system to collect images over an oak-juniper woodland [...] Read more. We used a very low-cost unmanned aerial system to collect images over an oak-juniper woodland ecosystem in the Texas Hill Country, USA. Images were processed in AgiSoft Photoscan to produce a dense, fully georeferenced 3D point cloud for the 15-ha site. Our study had two objectives: 1) compare digital terrain product accuracies between the SfM product and spatially coincident lidar data, and 2) use the SfM non-ground points to estimate tree canopy height. Our results demonstrate that image-based point cloud products obtained over our vegetated site can be used to provide a reasonably accurate terrain product and that non-ground SfM points serve as suitable predictors of tree canopy height when coupled with an accurate terrain model. In summary, although lidar data are increasingly available, SfM can serve as a suitable proxy under specific canopy conditions. View this paper